IDEAS home Printed from https://ideas.repec.org/a/alk/ijels0/v7y2025i6id11244.html

AR-Enhanced AI Feedback and EFL Writing Engagement

Author

Listed:
  • Sandra Abad-Bataller

    (University of Alicante, Adjunct professor, English department, University of Alicante, San Vicente del Raspeig, Spain)

  • Laura Soriano-Gonzalez

    (University of Alicante, Adjunct professor, English department, University of Alicante, San Vicente del Raspeig, Spain)

Abstract

This study investigates the impact of integrating Augmented Reality (AR) and Artificial Intelligence (AI)-based writing feedback on students’ engagement and motivation in English as a Foreign Language (EFL) context. The purpose of the research is to explore whether AR-enhanced AI feedback can foster higher levels of attention, persistence, and interest in academic writing tasks compared with traditional feedback methods. A quasi-experimental mixed-methods design was employed with 48 undergraduate EFL students enrolled in a Technical English course at a Spanish university. Participants were divided into two groups: the experimental group received AR-supported writing prompts combined with AI-generated feedback, while the control group received conventional teacher feedback. Data were collected through pre- and post-tests using standardized engagement and motivation scales, as well as semi-structured focus group interviews. The results indicated that students exposed to AR-enhanced AI feedback demonstrated significantly higher levels of behavioural, emotional, and cognitive engagement. They also reported increased intrinsic motivation and a stronger sense of autonomy during the writing process. Qualitative data revealed that students valued the immediacy, visual immersion, and personalization provided by the AR-AI learning environment. The study concludes that combining AR and AI feedback creates a more interactive and motivating writing experience for EFL learners. This synergy promotes sustained attention, reduces writing anxiety, and enhances learners’ confidence in expressing ideas in English. The findings suggest that AR-AI integration can serve as an effective pedagogical approach to support engagement-driven language learning and open new directions for feedback innovation in higher education.

Suggested Citation

  • Sandra Abad-Bataller & Laura Soriano-Gonzalez, 2025. "AR-Enhanced AI Feedback and EFL Writing Engagement," International Journal of English Language Studies, Al-Kindi Center for Research and Development, vol. 7(6), pages 01-12, October.
  • Handle: RePEc:alk:ijels0:v:7:y:2025:i:6:id:11244
    DOI: 10.32996/ijels.2025.7.6.1
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/ijels/article/view/11244
    File Function: Abstract page
    Download Restriction: no

    File URL: https://al-kindipublisher.com/index.php/ijels/article/download/11244/10029
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32996/ijels.2025.7.6.1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:alk:ijels0:v:7:y:2025:i:6:id:11244. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/ijels .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.